DevOps

We are searching for a DevOps engineer (part-time with the possibility of becoming full-time): 

Job Responsibilities:
• Architecture and Automation: Design and deploy As-A-Service solutions using open-source software to automate system management, scaling, and monitoring. 
• System Optimization: Develop tools to streamline deployment, monitoring, and incident management for large-scale, distributed environments. 
• Collaboration Across Teams: Work with development and operations teams to design and implement software solutions that enhance the overall reliability of services. Contribute to the ongoing DevOps and Agile transformation. 
• Monitoring & Incident Response: Set up, configure, and maintain monitoring and alerting systems to ensure real-time visibility into system performance. Participate in on-call rotations to respond to incidents and mitigate downtime. 
• CI/CD & Infrastructure Management: Continuously improve CI/CD pipelines using tools like GitLab, Helm, Terraform, and Ansible, ensuring fast, safe, and reliable deployments. 
• Container Orchestration: Leverage container orchestration platforms like Kubernetes (K8S) to manage distributed systems at scale. Experience with Slurm or similar cluster management is a plus. 
• Cloud and Automation Tools: Use cloud infrastructure (AWS, GCP, AZURE, etc.) and Infrastructure as Code (IaC) tools to automate the provisioning and scaling of resources. 
 

Requirements:
* Linux Systems: Deep expertise and hands-on experience working with Linux-based systems, with a focus on optimization and troubleshooting.
* Python Proficiency: Strong skills in Python for scripting, automation, and system management.
* Containerization & Orchestration: In-depth knowledge of container orchestration technologies such as Kubernetes (K8S). Experience with other cluster management tools like Slurm is a plus.
* Infrastructure as Code (IaC): Hands-on experience with tools like Helm, Terraform, and Ansible to manage infrastructure in a scalable and automated way.
* Container Technologies: Strong working knowledge of Docker, Podman, or other containerization systems to enable efficient and consistent deployment.
* CI/CD Pipelines: Experience working with CI/CD tools, especially GitLab (preferred), GitHub, or Git, to ensure smooth and rapid delivery cycles.
* Monitoring & Logging: Experience with monitoring and logging solutions such as Prometheus, Grafana, and the ELK stack to provide comprehensive insights into system performance and health.
* Relational Databases: Understanding of relational databases, their performance tuning, and management in distributed systems.
* Agile Development: Familiarity with Agile development methodologies, with a focus on continuous improvement and collaboration.
* Cloud Experience: Exposure to cloud technologies such as AWS or Google Cloud (GCP) AZURE is a strong plus.
* Collaboration & Communication: A team-first attitude with excellent verbal and written communication skills in English, able to work collaboratively with peers across the organization.